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Augmentation of Cardiac Ischemic Geometry for Improving Machine Learning Performance in Arrhythmic Risk Stratification
Ventricular arrhythmias frequently occur as a complication of myocardial infarction (MI), due to significant changes in the heart’s structure and...
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Classification of Pathologies on Medical Images Using the Algorithm of Random Forest of Optimal-Complexity Trees
The authors propose an approach to the construction of classifiers in the class of Random Forest algorithms. A genetic algorithm is used to determine...
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Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature
BackgroundDrug-drug interaction (DDI) information retrieval (IR) is an important natural language process (NLP) task from the PubMed literature. For...
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Application of the Robust Methods for Estimation of Distribution Parameters with a Priori Constraints on Parameters in Economics and Engineering*
The approach to estimating distribution parameters with a priori constraints has been developed. The Lorentz six-sector model has been constructed....
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A Three-Stage 2D–3D Convolutional Network Ensemble for Segmenting Malignant Brain Tumors on MRI Images
In this paper, the problem of brain tumor binary semantic segmentation based on MRI images is solved. The pixel-by-pixel determination of the anomaly...
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Intelligent Decision-Support System for Epidemiological Diagnostics. I. A Concept of Architecture Design
The problems of decision support for epidemiological diagnostics are investigated. The basis for supporting decision-making is mathematical tools for...
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An Ensemble Tree Classifier for Highly Imbalanced Data Classification
The performance of traditional imbalanced classification algorithms is degraded when dealing with highly imbalanced data. How to deal with highly...
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An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics
In this work we present an integrated computational pipeline involving several model order reduction techniques for industrial and applied...
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Identification for the Low-Contrast Image Signal with Regularized Variational Term and Dynamical Saturating Nonlinearity
In recent years, image processing based on stochastic resonance (SR) has received more and more attention. In this paper, a new model combining...
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Transformer-Based Deep Learning Network for Tooth Segmentation on Panoramic Radiographs
Panoramic radiographs can assist dentist to quickly evaluate patients’ overall oral health status. The accurate detection and localization of tooth...
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Block-Cyclic Structuring of the Basis of Fourier Transforms Based on Cyclic Substitution
The use of substitution as a primitive element in forming a cyclic basis matrix of the Fourier transform is considered. A cyclic substitution is used...
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Multiscale Content-Based Image Retrieval for Whole-Slide Histological Images
A new method if proposed for content-based image retrieval in whole-slide histological images. Given a fragment isolated on the query image, the...
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Substantiating the Diffusion Model of Innovation Implementation and its Application to Vaccine Propagation
The paper examines prerequisites and assumptions of the classical Bass innovation diffusion model with the aim of applying it in modeling of relevant...
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Modeling and targeting an essential metabolic pathway of Plasmodium falciparum in apicoplast using Petri nets
Petri net (PN) is one of the promising computational and mathematical formalisms used to represent and study the behavior of complex metabolic...
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A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot
It is a significant research direction for highly complex musculoskeletal robots that how to develop the ability of motion learning and...
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Overview of Visualization Methods for Artificial Neural Networks
AbstractModern algorithms based on artificial neural networks (ANNs) are extremely useful in solving a variety of complicated problems in computer...
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An Improved Algorithm for Scattered Data Interpolation Using Quartic Triangular Bézier Surfaces
We revisit the problem of interpolation of scattered data in...
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Spatial best linear unbiased prediction: a computational mathematics approach for high dimensional massive datasets
With the advent of massive data sets, much of the computational science and engineering community has moved toward data-intensive approaches in...
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Biomolecular Topology: Modelling and Analysis
With the great advancement of experimental tools, a tremendous amount of biomolecular data has been generated and accumulated in various databases....
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A Numerical Model of Inflammation Dynamics in the Core of Myocardial Infarction
Mathematical simulation is carried out of the dynamics of an acute inflammatory process in the central zone of necrotic myocardial damage. Some...